Article

Muscle Estimation using Stacked-LSTM Multivariate Regression Model

2023-09-12

Abstract excerpt

Muscle estimation is required to estimate the muscle activity of older adults, and a real-time process can influence the effectiveness of monitoring applications. However, using simulation tools to assess muscle activity consumes much computation energy, which is ineffective for long term monitoring. In this paper, we proposed a novel method named Stacked-LSTM (S-LSTM) multivariate regression model for muscle esti...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a3f21984-7b19-54ae-834e-33b5d5e3b13a
DOI: 10.21203/rs.3.rs-3346232/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Muscle Estimation using Stacked-LSTM Multivariate Regression ModelDOI 10.21203/rs.3.rs-3346232/v1Read

A Multi-Attention Fusion Deep Network for Human Activity Recognition in Motor RehabilitationSemantic proximity Read

FB-Mamba, an Efficient Bidirectional State Space Model for Wearable Sensor-Based Gait AnalysisSemantic proximity Read

Movement Recognition via Channel-Activation-Wise sEMG AttentionSemantic proximity Read

Diagnosis of Neurological Disorders Rehabilitation Using Effective Feature Elimination and LSTM-RNN ClassifierSemantic proximity Read

Human motion data expansion from arbitrary sparse sensors with shallow recurrent decodersSemantic proximity Read

IMU-Based Fitness Activity Recognition Using CNNs for Time Series ClassificationSemantic proximity Read

An EMG Foundation Model for Neural DecodingSemantic proximity Read

Self-Supervised Gait Event Detection from Smartphone IMUs for Human Performance and Sports MedicineSemantic proximity Read

A Unified Approach for Real-Time Human Activity Recognition in Wearable Devices Using Attention-Gated Spatiotemporal Fusion Networks and Optimized Sensor Data ProcessingSemantic proximity Read

Scalability of Random Forest in Myoelectric ControlSemantic proximity Read

Human Activity Recognition in the Deep Learning Era: Different Modalities, Recent Advances in Applications, and Emerging TechniquesSemantic proximity Read

TinyML Implementation of CNN-Based Gait Analysis for Low-Cost Motorized Prosthetics: A Proof-of-ConceptSemantic proximity Read